Python Lead Software Engineer - Rates Live Risk & P&L

Next Frontier Capital

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

JPMorganChase seeks a Senior Software Engineer to build and operate low-latency Python services for Rates Live Risk & P&L. You will own delivery end-to-end, including production support, and partner closely with front-office stakeholders to ship changes quickly and safely.

The role emphasizes production ownership, rapid iteration, and high-quality delivery in a fast-moving, collaborative front-office environment within a global financial services leader.

Qualifications

  • Strong Python development with production-quality code and testing.
  • Experience building/operating production services including incident troubleshooting.
  • Practical SDLC discipline across design, implementation, testing, deployment, and release management.
  • Experience with CI/CD and observability to keep services stable.

Responsibilities

  • Build and enhance Python services and applications powering live Rates risk and P&L with focus on low latency.
  • Partner with traders and risk managers to translate time-sensitive requirements into reliable solutions.
  • Own production services end-to-end, including releases, monitoring, incident response, and root-cause analysis.
  • Troubleshoot issues across distributed components and data flows; drive fixes to reduce recurrence.
  • Improve DevOps and operational readiness, including CI/CD, environment management, and automation.
  • Maintain engineering standards through code reviews, testing discipline, and documentation/runbooks.

Skills

Python production code
Production services
CI/CD & observability
SDLC discipline
Debugging multi-component systems
Front-office collaboration

Tools

Deephaven
Java interoperability

Job description

Description

You will join a front-office engineering team that builds and operates core Rates trading tooling where correctness, resilience, and latency matter every day. The environment is fast-moving and highly collaborative, with strong expectations for production ownership, rapid iteration, and high-quality delivery.

Job Responsibilities
  • Build and enhance Python services and applications that power live Rates risk and P&L, with a strong focus on low latency and predictable performance.
  • Partner directly with traders and risk managers to turn time-sensitive requirements into reliable, production-ready solutions.
  • Own production services end-to-end, including releases, monitoring, incident response, and root-cause analysis.
  • Troubleshoot issues across distributed components, data flows, and runtime environments; drive fixes that reduce recurrence.
  • Improve DevOps and operational readiness, including CI/CD, environment management, dependency management, and automation.
  • Maintain strong engineering standards through code reviews, testing discipline, performance profiling, and clear documentation/runbooks.
Required qualifications, capabilities, and skills
  • Strong Python development skills, including writing production-quality code with solid testing and packaging practices.
  • Experience building and operating production services, including production support and incident-driven troubleshooting.
  • Practical SDLC discipline across design, implementation, testing, deployment, and release management.
  • Experience with CI/CD and observability (monitoring, alerting, logs/metrics) to keep services stable and measurable.
  • Ability to work closely with front-office stakeholders and deliver effectively when priorities shift.
  • Strong debugging skills and comfort navigating multi-component systems.
Preferred qualifications, capabilities, and skills
  • Financial markets background, especially Rates trading, risk, or P&L concepts.
  • Exposure to Deephaven, including installation and dependencies (for example GKP, Java interoperability, and runtime operations).
  • Low-latency/performance engineering experience (profiling, concurrency, and latency measurement).
  • Understanding of UI programming and interactive workflows used by traders.
  • Strong DevOps mindset (automation, environment consistency, and operational ownership).

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Senior Software Engineer - Rates Live Risk & P&L (Python) As a Senior Software Engineer at JPMorganChase supporting Rates Live Risk & P&L, you will be a hands-on Python engineer building and running low-latency, real-time applications used directly by traders and risk managers. You will own delivery end-to-end, including production support, and partner closely with front-office stakeholders to ship changes quickly and safely.

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